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agricultural-surveys

Impact Evaluation of the Integrated Agricultural Productivity Project 2012

Bangladesh, 2012
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Reference ID
BGD_2012_IAPPIE_v01_EN_M_v01_A_OCS
Producer(s)
Florence Kondylis, Maria Jones, Daniel Stein
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 09, 2020
Last modified
Nov 08, 2022
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55511
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D.1.24 - Total earned from crop sales (d124_c2_03)

Data file: iapp_baseline_data_for_publicuse

Overview

Valid: 1321
Invalid: 3649
Minimum: 0
Maximum: 158000
Type: Discrete
Decimal: 0
Start: 9772
End: 9777
Width: 6
Range: -66 - 158000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-66 SKIP 0
0%
0 nothing 594
45%
77 refuse 0
0%
88 dont know 0
0%
99 missing 0
0%
100 2
0.2%
150 2
0.2%
200 2
0.2%
240 2
0.2%
280 1
0.1%
300 4
0.3%
350 1
0.1%
400 7
0.5%
450 1
0.1%
500 10
0.8%
550 1
0.1%
600 7
0.5%
620 2
0.2%
650 1
0.1%
680 1
0.1%
690 1
0.1%
700 8
0.6%
750 3
0.2%
800 11
0.8%
820 1
0.1%
890 1
0.1%
900 7
0.5%
1000 25
1.9%
1050 3
0.2%
1100 5
0.4%
1200 20
1.5%
1220 1
0.1%
1250 1
0.1%
1342 1
0.1%
1350 1
0.1%
1400 5
0.4%
1440 1
0.1%
1450 1
0.1%
1475 1
0.1%
1500 22
1.7%
1560 2
0.2%
1600 10
0.8%
1750 2
0.2%
1760 1
0.1%
1766 1
0.1%
1800 17
1.3%
1900 2
0.2%
1920 1
0.1%
2000 40
3%
2050 1
0.1%
2080 1
0.1%
2100 2
0.2%
2200 6
0.5%
2250 2
0.2%
2300 1
0.1%
2350 1
0.1%
2375 1
0.1%
2400 14
1.1%
2430 1
0.1%
2500 12
0.9%
2550 1
0.1%
2600 1
0.1%
2700 5
0.4%
2730 1
0.1%
2760 1
0.1%
2800 7
0.5%
2850 1
0.1%
2975 1
0.1%
3000 28
2.1%
3050 2
0.2%
3100 1
0.1%
3120 2
0.2%
3200 10
0.8%
3300 3
0.2%
3350 1
0.1%
3360 1
0.1%
3450 1
0.1%
3500 9
0.7%
3600 15
1.1%
3675 1
0.1%
3680 1
0.1%
3750 1
0.1%
3825 1
0.1%
3840 1
0.1%
3850 2
0.2%
3900 1
0.1%
4000 25
1.9%
4080 1
0.1%
4200 2
0.2%
4240 1
0.1%
4250 2
0.2%
4275 1
0.1%
4400 5
0.4%
4500 10
0.8%
4550 1
0.1%
4560 1
0.1%
4680 2
0.2%
4700 1
0.1%
4800 11
0.8%
4900 2
0.2%
4950 4
0.3%
5000 17
1.3%
5040 2
0.2%
5100 1
0.1%
5130 1
0.1%
5200 1
0.1%
5250 1
0.1%
5300 1
0.1%
5320 1
0.1%
5400 7
0.5%
5440 1
0.1%
5500 6
0.5%
5600 8
0.6%
5700 3
0.2%
5760 2
0.2%
5780 1
0.1%
5800 1
0.1%
5850 2
0.2%
5900 1
0.1%
6000 18
1.4%
6240 1
0.1%
6300 4
0.3%
6400 1
0.1%
6420 1
0.1%
6500 3
0.2%
6600 2
0.2%
6720 1
0.1%
6900 2
0.2%
7000 8
0.6%
7150 2
0.2%
7200 7
0.5%
7220 1
0.1%
7300 2
0.2%
7500 6
0.5%
7700 1
0.1%
7790 1
0.1%
7800 2
0.2%
7890 1
0.1%
8000 15
1.1%
8300 1
0.1%
8320 1
0.1%
8400 4
0.3%
8500 1
0.1%
8550 1
0.1%
8640 1
0.1%
8750 2
0.2%
8800 1
0.1%
8820 1
0.1%
8900 1
0.1%
9000 5
0.4%
9100 3
0.2%
9450 1
0.1%
9500 2
0.2%
9600 6
0.5%
9774 1
0.1%
9800 3
0.2%
10000 13
1%
10400 1
0.1%
10500 2
0.2%
10800 2
0.2%
11000 4
0.3%
11200 1
0.1%
11250 1
0.1%
11700 1
0.1%
11900 1
0.1%
12000 8
0.6%
12193 1
0.1%
12200 1
0.1%
12250 1
0.1%
12480 1
0.1%
12500 2
0.2%
12600 1
0.1%
13000 2
0.2%
13200 1
0.1%
13300 1
0.1%
13500 3
0.2%
14000 6
0.5%
14400 3
0.2%
15000 5
0.4%
15495 1
0.1%
15980 1
0.1%
16000 3
0.2%
16500 2
0.2%
17000 1
0.1%
17100 1
0.1%
17500 2
0.2%
18000 8
0.6%
19249 1
0.1%
20000 3
0.2%
22000 3
0.2%
22500 1
0.1%
22900 1
0.1%
24000 2
0.2%
25000 1
0.1%
26000 2
0.2%
26250 1
0.1%
26880 1
0.1%
27200 1
0.1%
30000 2
0.2%
34200 1
0.1%
36000 1
0.1%
40000 1
0.1%
45000 1
0.1%
52000 1
0.1%
55000 1
0.1%
158000 1
0.1%
Sysmiss 3649
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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